Llewellyn E. Jalbert
Impact in
- Genetics top 5%
- Glioma Diagnosis and Treatment
-
- Cancer, Hypoxia, and Metabolism
Papers in
- Genetics 8
- Glioma Diagnosis and Treatment 8
-
- MRI in cancer diagnosis 3
- Advanced Neuroimaging Techniques and Applications 3
- Advanced MRI Techniques and Applications 3
- Medical Imaging Techniques and Applications 2
- Co-authors
- Joanna J. Phillips (8 shared papers)Adam Elkhaled (5 shared papers)Susan M. Chang (5 shared papers)Mitchel S. Berger (4 shared papers)Sarah J. Nelson (3 shared papers)Sarah J. Nelson (7 shared papers)Soonmee Cha (4 shared papers)Hikari A. I. Yoshihara (2 shared papers)
- Journals
- Neuro-Oncology (3 papers)Journal of Neuro-Oncology (2 papers)Artificial Intelligence in Medicine (1 paper)NMR in Biomedicine (1 paper)Metabolomics (1 paper)
- Partner nations
- United StatesSwitzerlandAustria
In The Last Decade
Llewellyn E. Jalbert
12 papers receiving 409 citations
Peers
Comparison fields: 5 of 48
- Genetics 210
- Cancer Research 122
- Radiology, Nuclear Medicine and Imaging 152
- Spectroscopy 61
- Structural Biology 4
Countries citing papers authored by Llewellyn E. Jalbert
This map shows the geographic impact of Llewellyn E. Jalbert's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Llewellyn E. Jalbert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Llewellyn E. Jalbert more than expected).
Fields of papers citing papers by Llewellyn E. Jalbert
This network shows the impact of papers produced by Llewellyn E. Jalbert. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Llewellyn E. Jalbert. The network helps show where Llewellyn E. Jalbert may publish in the future.
Co-authors
The 25 scholars most cited alongside Llewellyn E. Jalbert, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 128 | |
| 2 | 2017 | 61 | |
| 3 | 2014 | 60 | |
| 4 | 2014 | 41 | |
| 5 | 2017 | 33 | |
| 6 | 2010 | 25 | |
| 7 | 2016 | 17 | |
| 8 | 2017 | 15 | |
| 9 | 2012 | 14 | |
| 10 | 2022 | 9 | |
| 11 | 2018 | 5 | |
| 12 | 2017 | 3 |
About Llewellyn E. Jalbert
Llewellyn E. Jalbert is a scholar working on Genetics, Radiology, Nuclear Medicine and Imaging, Biophysics, Molecular Biology and Clinical Biochemistry, having authored 12 papers that have together received 411 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (8 papers), MRI in cancer diagnosis (3 papers), Advanced Neuroimaging Techniques and Applications (3 papers), Advanced MRI Techniques and Applications (3 papers), Medical Imaging Techniques and Applications (2 papers), Lanthanide and Transition Metal Complexes (1 paper), Cell Image Analysis Techniques (1 paper) and Molecular Biology Techniques and Applications (1 paper). The work is most often cited by research in Genetics (210 citations), Cancer Research (122 citations), Radiology, Nuclear Medicine and Imaging (152 citations), Spectroscopy (61 citations) and Structural Biology (4 citations). Llewellyn E. Jalbert has collaborated with scholars based in United States, Switzerland and Austria. Frequent co-authors include Joanna J. Phillips, Adam Elkhaled, Susan M. Chang, Mitchel S. Berger, Sarah J. Nelson, Sarah J. Nelson, Soonmee Cha, Hikari A. I. Yoshihara, Annette M. Molinaro and Radhika Srinivasan. Their work appears in journals such as Neuro-Oncology, Journal of Neuro-Oncology, Artificial Intelligence in Medicine, NMR in Biomedicine and Metabolomics.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.